Creating codebooks

The authors provide two datasets, but no further documentation - thus, we started by attempting to automatically generate some codebooks to understand the data

library(haven)
library(dplyr)
## 
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
## 
##     filter, lag
## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union
library(codebook)

dat1 <- read_dta("reproduction_materials/combined data OSF.dta")
dat2 <- read_dta("reproduction_materials/manager survey data OSF.dta")

Codebook for combined data

codebook(dat1)

Metadata

Description

Dataset name: dat1

The dataset has N=1184 rows and 51 columns. 0 rows have no missing values on any column.

Metadata for search engines
  • Date published: 2024-01-25
x
method_tokens
students
cond
study
sample
s5_cond
s5_majority
s2_tokens_0
s2_tokens_2
s2_tokens_4
s2_tokens_6
s2_tokens_8
s2_tokens_10
s2_tokens_mean
s2_performance_slope
tokens
ztokens
muchlower_score
lower_score
same_score
higher_score
muchhigher_score
bonus_chance
performance_slope
z_performance_slope
z_slope
slope
score
percent
numbersearches
ln_numbersearches
sqrt_numbersearches
znumbersearches
z_ln_numbersearches
z_sqrt_numbersearches
z_effort
z_ln_effort
z_sqrt_effort
age
gender
woman_other
race
nonwhite
educ
college
sses
pol
manage
empstat
working
house_income

#Variables

method_tokens

DV type

Distribution

Distribution of values for method_tokens

Distribution of values for method_tokens

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
method_tokens DV type numeric 0 1 0 0 1 0.1731419 0.3785298 ▇▁▁▁▂ %9.0g

students

student or mturk sample

Distribution

Distribution of values for students

Distribution of values for students

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
students student or mturk sample numeric 0 1 0 0 1 0.1435811 0.3508126 ▇▁▁▁▂ %9.0g

cond

control / advantage / disdvantage conditions

Distribution

Distribution of values for cond

Distribution of values for cond

1 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.stata
cond control / advantage / disdvantage conditions haven_labelled 1 0.9991554 1 2 3 2.000845 0.8170141 3 ▇▁▁▇▁▁▁▇ %12.0g

Value labels

Response choices
name value
Control 1
Advantage 2
Disadvantage 3

study

study

Distribution

Distribution of values for study

Distribution of values for study

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
study study numeric 0 1 1 5 5 4.021115 1.301041 ▂▂▁▅▇ %9.0g

sample

in analytic sample

Distribution

Distribution of values for sample

Distribution of values for sample

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
sample in analytic sample numeric 0 1 0 1 1 0.8800676 0.3250198 ▁▁▁▁▇ %9.0g

s5_cond

all conditions in study 5

Distribution

Distribution of values for s5_cond

Distribution of values for s5_cond

579 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.stata
s5_cond all conditions in study 5 haven_labelled 579 0.5109797 1 4 6 3.515703 1.70852 6 ▇▇▁▇▇▁▇▇ %23.0g

Value labels

Response choices
name value
control / minority 1
control / majority 2
disadvantage / minority 3
disadvantage / majority 4
advantage / minority 5
advantage / majority 6

s5_majority

majority / minority status in study 5

Distribution

Distribution of values for s5_majority

Distribution of values for s5_majority

579 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
s5_majority majority / minority status in study 5 numeric 579 0.5109797 0 1 1 0.5024793 0.5004076 ▇▁▁▁▇ %10.0g

s2_tokens_0

chance of bonus if giving 0 tokens

Distribution

Distribution of values for s2_tokens_0

Distribution of values for s2_tokens_0

1081 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.stata
s2_tokens_0 chance of bonus if giving 0 tokens haven_labelled 1081 0.0869932 1 1 5 1.378641 0.8869037 5 ▇▁▁▁▁▁▁▁ %13.0g

Value labels

Response choices
name value
very unlikely 1
unlikely 2
neutral 3
likely 4
likely 5

s2_tokens_2

chance of bonus if giving 2 tokens

Distribution

Distribution of values for s2_tokens_2

Distribution of values for s2_tokens_2

1081 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.stata
s2_tokens_2 chance of bonus if giving 2 tokens haven_labelled 1081 0.0869932 1 2 5 1.92233 0.8596547 5 ▅▇▁▂▁▁▁▁ %13.0g

Value labels

Response choices
name value
very unlikely 1
unlikely 2
neutral 3
likely 4
likely 5

s2_tokens_4

chance of bonus if giving 4 tokens

Distribution

Distribution of values for s2_tokens_4

Distribution of values for s2_tokens_4

1081 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.stata
s2_tokens_4 chance of bonus if giving 4 tokens haven_labelled 1081 0.0869932 1 3 5 2.563107 0.8594333 5 ▂▇▁▇▁▂▁▁ %13.0g

Value labels

Response choices
name value
very unlikely 1
unlikely 2
neutral 3
likely 4
likely 5

s2_tokens_6

chance of bonus if giving 6 tokens

Distribution

Distribution of values for s2_tokens_6

Distribution of values for s2_tokens_6

1081 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.stata
s2_tokens_6 chance of bonus if giving 6 tokens haven_labelled 1081 0.0869932 1 3 5 3.300971 0.8498553 5 ▁▃▁▇▁▇▁▁ %13.0g

Value labels

Response choices
name value
very unlikely 1
unlikely 2
neutral 3
likely 4
likely 5

s2_tokens_8

chance of bonus if giving 8 tokens

Distribution

Distribution of values for s2_tokens_8

Distribution of values for s2_tokens_8

1081 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.stata
s2_tokens_8 chance of bonus if giving 8 tokens haven_labelled 1081 0.0869932 1 4 5 3.883495 0.8666022 5 ▁▁▁▂▁▇▁▃ %13.0g

Value labels

Response choices
name value
very unlikely 1
unlikely 2
neutral 3
likely 4
likely 5

s2_tokens_10

chance of bonus if giving 10 tokens

Distribution

Distribution of values for s2_tokens_10

Distribution of values for s2_tokens_10

1081 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.stata
s2_tokens_10 chance of bonus if giving 10 tokens haven_labelled 1081 0.0869932 1 5 5 4.475728 0.8949166 5 ▁▁▁▁▁▃▁▇ %13.0g

Value labels

Response choices
name value
very unlikely 1
unlikely 2
neutral 3
likely 4
likely 5

s2_tokens_mean

chance of bonus, avg over all token levels

Distribution

Distribution of values for s2_tokens_mean

Distribution of values for s2_tokens_mean

1081 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
s2_tokens_mean chance of bonus, avg over all token levels numeric 1081 0.0869932 1.3 2.8 5 2.920712 0.6382185 ▂▃▇▁▁ %9.0g

s2_performance_slope

performance slope for study 2

Distribution

Distribution of values for s2_performance_slope

Distribution of values for s2_performance_slope

1081 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
s2_performance_slope performance slope for study 2 numeric 1081 0.0869932 -0.6 0.8 0.8 0.6194175 0.2693705 ▁▁▁▁▇ %9.0g

tokens

number of tokens given

Distribution

Distribution of values for tokens

Distribution of values for tokens

980 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
tokens number of tokens given numeric 980 0.1722973 0 5 10 5.617647 2.984506 ▅▃▇▆▆ %9.0g

ztokens

tokens standardized within study

Distribution

Distribution of values for ztokens

Distribution of values for ztokens

987 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
ztokens tokens standardized within study numeric 987 0.1663851 -2 -0.17 1.7 -1e-07 1.05659 ▅▃▇▆▆ %9.0g

muchlower_score

chance of bonus at much lower performance than other(s)

Distribution

Distribution of values for muchlower_score

Distribution of values for muchlower_score

210 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
muchlower_score chance of bonus at much lower performance than other(s) numeric 210 0.8226351 0 2 100 14.64066 21.82398 ▇▁▁▁▁ %9.0g

lower_score

chance of bonus at lower performance than other(s)

Distribution

Distribution of values for lower_score

Distribution of values for lower_score

211 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
lower_score chance of bonus at lower performance than other(s) numeric 211 0.8217905 0 18 100 23.00308 24.58091 ▇▃▂▁▁ %9.0g

same_score

chance of bonus at about same performance than other(s)

Distribution

Distribution of values for same_score

Distribution of values for same_score

208 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
same_score chance of bonus at about same performance than other(s) numeric 208 0.8243243 0 50 100 45.86373 25.5882 ▃▃▇▂▂ %9.0g

higher_score

chance of bonus at higher performance than other(s)

Distribution

Distribution of values for higher_score

Distribution of values for higher_score

207 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
higher_score chance of bonus at higher performance than other(s) numeric 207 0.8251689 0 74 100 70.77789 26.12181 ▁▂▅▆▇ %9.0g

muchhigher_score

chance of bonus at much higher performance than other(s)

Distribution

Distribution of values for muchhigher_score

Distribution of values for muchhigher_score

207 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
muchhigher_score chance of bonus at much higher performance than other(s) numeric 207 0.8251689 0 97 100 83.20266 23.47382 ▁▁▂▂▇ %9.0g

bonus_chance

chance of bonus, avg over all performance levels

Distribution

Distribution of values for bonus_chance

Distribution of values for bonus_chance

206 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
bonus_chance chance of bonus, avg over all performance levels numeric 206 0.8260135 0 48 100 47.52509 18.38126 ▁▃▇▂▁ %9.0g

performance_slope

avg increase in chance of bonus for 1 increment increase in performance

Distribution

Distribution of values for performance_slope

Distribution of values for performance_slope

341 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
performance_slope avg increase in chance of bonus for 1 increment increase in performance numeric 341 0.7119932 -8.5 20 32 17.5603 7.390923 ▁▂▆▇▇ %9.0g

z_performance_slope

performance slope stdized within study

Distribution

Distribution of values for z_performance_slope

Distribution of values for z_performance_slope

245 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
z_performance_slope performance slope stdized within study numeric 245 0.7930743 -4.4 0.36 2.3 -2e-07 1.130051 ▁▂▅▇▆ %9.0g

z_slope

same as z_performance_slope

Distribution

Distribution of values for z_slope

Distribution of values for z_slope

245 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
z_slope same as z_performance_slope numeric 245 0.7930743 -4.4 0.36 2.3 -2e-07 1.130051 ▁▂▅▇▆ %9.0g

slope

same as performance slope

Distribution

Distribution of values for slope

Distribution of values for slope

341 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
slope same as performance slope numeric 341 0.7119932 -8.5 20 32 17.5603 7.390923 ▁▂▆▇▇ %9.0g

score

count of number searches answered correctly

Distribution

Distribution of values for score

Distribution of values for score

205 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
score count of number searches answered correctly numeric 205 0.8268581 0 6 29 7.875383 6.226863 ▇▅▂▁▁ %9.0g

percent

percentage of number searches answered correctly

Distribution

Distribution of values for percent

Distribution of values for percent

205 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
percent percentage of number searches answered correctly numeric 205 0.8268581 0 0.71 1 0.6943476 0.2312669 ▁▂▃▇▇ %9.0g

numbersearches

count of number searches attempted

Distribution

Distribution of values for numbersearches

Distribution of values for numbersearches

205 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
numbersearches count of number searches attempted numeric 205 0.8268581 1 9 30 11.34321 8.311465 ▇▆▃▂▂ %9.0g

ln_numbersearches

ln of numbersearches

Distribution

Distribution of values for ln_numbersearches

Distribution of values for ln_numbersearches

340 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
ln_numbersearches ln of numbersearches numeric 340 0.7128378 0 2.2 3.4 2.1174 0.8538423 ▁▃▆▇▆ %9.0g

sqrt_numbersearches

square root of number searches

Distribution

Distribution of values for sqrt_numbersearches

Distribution of values for sqrt_numbersearches

205 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
sqrt_numbersearches square root of number searches numeric 205 0.8268581 1 3 5.5 3.132671 1.237393 ▆▇▇▅▅ %9.0g

znumbersearches

numbersearches standardized within study

Distribution

Distribution of values for znumbersearches

Distribution of values for znumbersearches

340 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
znumbersearches numbersearches standardized within study numeric 340 0.7128378 -1.5 -0.35 2.4 -0.0687235 1.00969 ▆▇▃▂▂ %9.0g

z_ln_numbersearches

ln_numbersearches standardized within study

Distribution

Distribution of values for z_ln_numbersearches

Distribution of values for z_ln_numbersearches

340 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
z_ln_numbersearches ln_numbersearches standardized within study numeric 340 0.7128378 -2.6 0.14 1.6 3e-07 1.014144 ▁▃▇▇▆ %9.0g

z_sqrt_numbersearches

sqrt_numbersearches standardized within study

Distribution

Distribution of values for z_sqrt_numbersearches

Distribution of values for z_sqrt_numbersearches

340 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
z_sqrt_numbersearches sqrt_numbersearches standardized within study numeric 340 0.7128378 -1.8 -0.053 2.1 1e-07 1.006216 ▅▇▇▅▃ %9.0g

z_effort

tokens/numsearches stdized within study

Distribution

Distribution of values for z_effort

Distribution of values for z_effort

143 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
z_effort tokens/numsearches stdized within study numeric 143 0.879223 -2 -0.25 2.4 -0.0557182 1.018569 ▃▇▅▃▂ %9.0g

z_ln_effort

tokens/ln_numsearches stdized within study

Distribution

Distribution of values for z_ln_effort

Distribution of values for z_ln_effort

143 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
z_ln_effort tokens/ln_numsearches stdized within study numeric 143 0.879223 -2.6 0.093 1.7 2e-07 1.021794 ▁▅▇▇▆ %9.0g

z_sqrt_effort

tokens/sqrt_numsearches stdized within study

Distribution

Distribution of values for z_sqrt_effort

Distribution of values for z_sqrt_effort

143 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
z_sqrt_effort tokens/sqrt_numsearches stdized within study numeric 143 0.879223 -2 -0.12 2.1 1e-07 1.015422 ▃▆▇▅▃ %9.0g

age

age

Distribution

Distribution of values for age

Distribution of values for age

207 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
age age numeric 207 0.8251689 18 32 73 33.14432 10.49867 ▇▇▃▁▁ %9.0g

gender

gender

Distribution

Distribution of values for gender

Distribution of values for gender

273 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
gender gender numeric 273 0.7694257 1 2 3 1.711306 0.4928874 ▃▁▇▁▁ %9.0g

woman_other

woman or other gender

Distribution

Distribution of values for woman_other

Distribution of values for woman_other

205 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
woman_other woman or other gender numeric 205 0.8268581 0 1 1 0.7017365 0.4577296 ▃▁▁▁▇ %9.0g

race

race

Distribution

Distribution of values for race

Distribution of values for race

205 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.stata
race race haven_labelled 205 0.8268581 1 1 8 1.759959 1.425947 8 ▇▁▂▁▁▁▁▁ %16.0g

Value labels

Response choices
name value
White 1
Black 2
Hispanic 3
Native 4
Asian 5
Pacific Islander 6
Multiracial 7
Other Race 8

nonwhite

any nonwhite race

Distribution

Distribution of values for nonwhite

Distribution of values for nonwhite

205 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
nonwhite any nonwhite race numeric 205 0.8268581 0 0 1 0.3146067 0.4645964 ▇▁▁▁▃ %9.0g

educ

educational attainment

Distribution

Distribution of values for educ

Distribution of values for educ

283 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.stata
educ educational attainment haven_labelled 283 0.7609797 1 4 6 4.069922 1.318499 6 ▁▃▁▇▃▁▇▅ %16.0g

Value labels

Response choices
name value
<HS 1
HS 2
Some college 3
AA/2-year degree 4
BA/4-year degree 5
Postgrad 6

college

any college degree

Distribution

Distribution of values for college

Distribution of values for college

283 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
college any college degree numeric 283 0.7609797 0 0 1 0.4539401 0.4981505 ▇▁▁▁▆ %9.0g

sses

subjective SES

Distribution

Distribution of values for sses

Distribution of values for sses

205 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
sses subjective SES numeric 205 0.8268581 1 5 10 5.105209 1.756135 ▁▆▇▅▁ %9.0g

pol

political conservatism

Distribution

Distribution of values for pol

Distribution of values for pol

273 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
pol political conservatism numeric 273 0.7694257 1 4 7 3.521405 1.60642 ▆▃▇▂▃ %9.0g

manage

manager

Distribution

Distribution of values for manage

Distribution of values for manage

273 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
manage manager numeric 273 0.7694257 0 0 1 0.3106476 0.463013 ▇▁▁▁▃ %9.0g

empstat

employment status

Distribution

Distribution of values for empstat

Distribution of values for empstat

273 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.stata
empstat employment status haven_labelled 273 0.7694257 1 1 7 2.236004 1.668143 7 ▇▂▂▂▁▁▁▁ %10.0g

Value labels

Response choices
name value
Full-Time 1
Part-Time 2
Unemployed 3
Homemaker 4
Student 5
Retired 6
Other 7

working

working full or part time

Distribution

Distribution of values for working

Distribution of values for working

273 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
working working full or part time numeric 273 0.7694257 0 1 1 0.6794731 0.4669355 ▃▁▁▁▇ %9.0g

house_income

household income

Distribution

Distribution of values for house_income

Distribution of values for house_income

287 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
house_income household income numeric 287 0.7576014 10 70 375 106.6054 108.6935 ▇▃▁▁▂ %9.0g

Missingness report

Codebook table

JSON-LD metadata

The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.

{
  "name": "dat1",
  "datePublished": "2024-01-25",
  "description": "The dataset has N=1184 rows and 51 columns.\n0 rows have no missing values on any column.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n[truncated]\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.2).",
  "keywords": ["method_tokens", "students", "cond", "study", "sample", "s5_cond", "s5_majority", "s2_tokens_0", "s2_tokens_2", "s2_tokens_4", "s2_tokens_6", "s2_tokens_8", "s2_tokens_10", "s2_tokens_mean", "s2_performance_slope", "tokens", "ztokens", "muchlower_score", "lower_score", "same_score", "higher_score", "muchhigher_score", "bonus_chance", "performance_slope", "z_performance_slope", "z_slope", "slope", "score", "percent", "numbersearches", "ln_numbersearches", "sqrt_numbersearches", "znumbersearches", "z_ln_numbersearches", "z_sqrt_numbersearches", "z_effort", "z_ln_effort", "z_sqrt_effort", "age", "gender", "woman_other", "race", "nonwhite", "educ", "college", "sses", "pol", "manage", "empstat", "working", "house_income"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "method_tokens",
      "description": "DV type",
      "@type": "propertyValue"
    },
    {
      "name": "students",
      "description": "student or mturk sample",
      "@type": "propertyValue"
    },
    {
      "name": "cond",
      "description": "control / advantage / disdvantage conditions",
      "value": "1. Control,\n2. Advantage,\n3. Disadvantage",
      "maxValue": 3,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "study",
      "description": "study",
      "@type": "propertyValue"
    },
    {
      "name": "sample",
      "description": "in analytic sample",
      "@type": "propertyValue"
    },
    {
      "name": "s5_cond",
      "description": "all conditions in study 5",
      "value": "1. control / minority,\n2. control / majority,\n3. disadvantage / minority,\n4. disadvantage / majority,\n5. advantage / minority,\n6. advantage / majority",
      "maxValue": 6,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "s5_majority",
      "description": "majority / minority status in study 5",
      "@type": "propertyValue"
    },
    {
      "name": "s2_tokens_0",
      "description": "chance of bonus if giving 0 tokens",
      "value": "1. very unlikely,\n2. unlikely,\n3. neutral,\n4. likely,\n5. likely",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "s2_tokens_2",
      "description": "chance of bonus if giving 2 tokens",
      "value": "1. very unlikely,\n2. unlikely,\n3. neutral,\n4. likely,\n5. likely",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "s2_tokens_4",
      "description": "chance of bonus if giving 4 tokens",
      "value": "1. very unlikely,\n2. unlikely,\n3. neutral,\n4. likely,\n5. likely",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "s2_tokens_6",
      "description": "chance of bonus if giving 6 tokens",
      "value": "1. very unlikely,\n2. unlikely,\n3. neutral,\n4. likely,\n5. likely",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "s2_tokens_8",
      "description": "chance of bonus if giving 8 tokens",
      "value": "1. very unlikely,\n2. unlikely,\n3. neutral,\n4. likely,\n5. likely",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "s2_tokens_10",
      "description": "chance of bonus if giving 10 tokens",
      "value": "1. very unlikely,\n2. unlikely,\n3. neutral,\n4. likely,\n5. likely",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "s2_tokens_mean",
      "description": "chance of bonus, avg over all token levels",
      "@type": "propertyValue"
    },
    {
      "name": "s2_performance_slope",
      "description": "performance slope for study 2",
      "@type": "propertyValue"
    },
    {
      "name": "tokens",
      "description": "number of tokens given",
      "@type": "propertyValue"
    },
    {
      "name": "ztokens",
      "description": "tokens standardized within study",
      "@type": "propertyValue"
    },
    {
      "name": "muchlower_score",
      "description": "chance of bonus at much lower performance than other(s)",
      "@type": "propertyValue"
    },
    {
      "name": "lower_score",
      "description": "chance of bonus at lower performance than other(s)",
      "@type": "propertyValue"
    },
    {
      "name": "same_score",
      "description": "chance of bonus at about same performance than other(s)",
      "@type": "propertyValue"
    },
    {
      "name": "higher_score",
      "description": "chance of bonus at higher performance than other(s)",
      "@type": "propertyValue"
    },
    {
      "name": "muchhigher_score",
      "description": "chance of bonus at much higher performance than other(s)",
      "@type": "propertyValue"
    },
    {
      "name": "bonus_chance",
      "description": "chance of bonus, avg over all performance levels",
      "@type": "propertyValue"
    },
    {
      "name": "performance_slope",
      "description": "avg increase in chance of bonus for 1 increment increase in performance",
      "@type": "propertyValue"
    },
    {
      "name": "z_performance_slope",
      "description": "performance slope stdized within study",
      "@type": "propertyValue"
    },
    {
      "name": "z_slope",
      "description": "same as z_performance_slope",
      "@type": "propertyValue"
    },
    {
      "name": "slope",
      "description": "same as performance slope",
      "@type": "propertyValue"
    },
    {
      "name": "score",
      "description": "count of number searches answered correctly",
      "@type": "propertyValue"
    },
    {
      "name": "percent",
      "description": "percentage of number searches answered correctly",
      "@type": "propertyValue"
    },
    {
      "name": "numbersearches",
      "description": "count of number searches attempted",
      "@type": "propertyValue"
    },
    {
      "name": "ln_numbersearches",
      "description": "ln of numbersearches",
      "@type": "propertyValue"
    },
    {
      "name": "sqrt_numbersearches",
      "description": "square root of number searches",
      "@type": "propertyValue"
    },
    {
      "name": "znumbersearches",
      "description": "numbersearches standardized within study",
      "@type": "propertyValue"
    },
    {
      "name": "z_ln_numbersearches",
      "description": "ln_numbersearches standardized within study",
      "@type": "propertyValue"
    },
    {
      "name": "z_sqrt_numbersearches",
      "description": "sqrt_numbersearches standardized within study",
      "@type": "propertyValue"
    },
    {
      "name": "z_effort",
      "description": "tokens/numsearches stdized within study",
      "@type": "propertyValue"
    },
    {
      "name": "z_ln_effort",
      "description": "tokens/ln_numsearches stdized within study",
      "@type": "propertyValue"
    },
    {
      "name": "z_sqrt_effort",
      "description": "tokens/sqrt_numsearches stdized within study",
      "@type": "propertyValue"
    },
    {
      "name": "age",
      "description": "age",
      "@type": "propertyValue"
    },
    {
      "name": "gender",
      "description": "gender",
      "@type": "propertyValue"
    },
    {
      "name": "woman_other",
      "description": "woman or other gender",
      "@type": "propertyValue"
    },
    {
      "name": "race",
      "description": "race",
      "value": "1. White,\n2. Black,\n3. Hispanic,\n4. Native,\n5. Asian,\n6. Pacific Islander,\n7. Multiracial,\n8. Other Race",
      "maxValue": 8,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "nonwhite",
      "description": "any nonwhite race",
      "@type": "propertyValue"
    },
    {
      "name": "educ",
      "description": "educational attainment",
      "value": "1. <HS,\n2. HS,\n3. Some college,\n4. AA/2-year degree,\n5. BA/4-year degree,\n6. Postgrad",
      "maxValue": 6,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "college",
      "description": "any college degree",
      "@type": "propertyValue"
    },
    {
      "name": "sses",
      "description": "subjective SES",
      "@type": "propertyValue"
    },
    {
      "name": "pol",
      "description": "political conservatism",
      "@type": "propertyValue"
    },
    {
      "name": "manage",
      "description": "manager",
      "@type": "propertyValue"
    },
    {
      "name": "empstat",
      "description": "employment status",
      "value": "1. Full-Time,\n2. Part-Time,\n3. Unemployed,\n4. Homemaker,\n5. Student,\n6. Retired,\n7. Other",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "working",
      "description": "working full or part time",
      "@type": "propertyValue"
    },
    {
      "name": "house_income",
      "description": "household income",
      "@type": "propertyValue"
    }
  ]
}`

Codebook for manager data

codebook(dat2)

Metadata

Description

Dataset name: dat2

The dataset has N=107 rows and 55 columns. 0 rows have no missing values on any column.

Metadata for search engines
  • Date published: 2024-01-25
x
warm
trustworthy
friendly
honest
likeable
sincere
competent
intelligent
skilled
efficient
assertive
confident
warmth
warmth_cent
zwarmth
comp
comp_cent
zcomp
prefer
prefer_cent
zprefer
promote_bonus
promote_bonus_cent
zpromote_bonus
hire
hire_cent
zhire
work_outcome_cent
age
age_cent
gender
gender_3_text
women_nonbin
race
race_7_text
race_8_text
hisp
racev2
nonwhite
educ
college
empstat
occ
working
manage
manage_num
income
income_cent
sses
sses_cent
polsoc
polecon
pol
pol_cent
blue_advantage

#Variables

warm

warmth scale item

Distribution

Distribution of values for warm

Distribution of values for warm

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
warm warmth scale item numeric 0 1 1 4 7 4.205608 1.034666 ▁▁▇▁▂ %8.0g

trustworthy

warmth scale item

Distribution

Distribution of values for trustworthy

Distribution of values for trustworthy

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
trustworthy warmth scale item numeric 0 1 2 4 7 4.785047 1.132938 ▁▇▃▃▂ %8.0g

friendly

warmth scale item

Distribution

Distribution of values for friendly

Distribution of values for friendly

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
friendly warmth scale item numeric 0 1 1 4 7 4.205608 0.9784308 ▁▁▇▂▁ %8.0g

honest

warmth scale item

Distribution

Distribution of values for honest

Distribution of values for honest

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
honest warmth scale item numeric 0 1 1 4 7 4.542056 1.048632 ▁▁▇▃▃ %8.0g

likeable

warmth scale item

Distribution

Distribution of values for likeable

Distribution of values for likeable

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
likeable warmth scale item numeric 0 1 2 4 7 4.401869 1.062747 ▂▇▂▂▁ %8.0g

sincere

warmth scale item

Distribution

Distribution of values for sincere

Distribution of values for sincere

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
sincere warmth scale item numeric 0 1 2 4 7 4.420561 1.090589 ▂▇▂▂▁ %8.0g

competent

competence scale item

Distribution

Distribution of values for competent

Distribution of values for competent

1 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
competent competence scale item numeric 1 0.9906542 2 5 7 5.132076 1.121865 ▂▆▇▆▃ %8.0g

intelligent

competence scale item

Distribution

Distribution of values for intelligent

Distribution of values for intelligent

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
intelligent competence scale item numeric 0 1 2 4 7 4.728972 1.137442 ▁▇▃▂▂ %8.0g

skilled

competence scale item

Distribution

Distribution of values for skilled

Distribution of values for skilled

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
skilled competence scale item numeric 0 1 2 5 7 4.953271 1.102169 ▁▇▆▆▂ %8.0g

efficient

competence scale item

Distribution

Distribution of values for efficient

Distribution of values for efficient

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
efficient competence scale item numeric 0 1 2 6 7 5.682243 1.095429 ▁▂▃▇▅ %8.0g

assertive

competence scale item

Distribution

Distribution of values for assertive

Distribution of values for assertive

1 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
assertive competence scale item numeric 1 0.9906542 2 5 7 5.028302 1.198869 ▁▇▆▅▃ %8.0g

confident

competence scale item

Distribution

Distribution of values for confident

Distribution of values for confident

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
confident competence scale item numeric 0 1 2 5 7 4.915888 1.142007 ▁▇▆▅▂ %8.0g

warmth

warmth scale

Distribution

Distribution of values for warmth

Distribution of values for warmth

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
warmth warmth scale numeric 0 1 2.7 4 7 4.426791 0.8700037 ▁▇▂▂▁ %9.0g

warmth_cent

warmth 4 centered

Distribution

Distribution of values for warmth_cent

Distribution of values for warmth_cent

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
warmth_cent warmth 4 centered numeric 0 1 -1.3 0 3 0.4267913 0.8700037 ▁▇▂▂▁ %9.0g

zwarmth

warmth stdized, 4 centered

Distribution

Distribution of values for zwarmth

Distribution of values for zwarmth

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
zwarmth warmth stdized, 4 centered numeric 0 1 -1.5 0 3.4 0.4792399 0.976919 ▁▇▂▂▁ %9.0g

comp

competence scale

Distribution

Distribution of values for comp

Distribution of values for comp

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
comp competence scale numeric 0 1 2.8 5 7 5.075078 0.8928565 ▁▅▇▇▂ %9.0g

comp_cent

comp 4 centered

Distribution

Distribution of values for comp_cent

Distribution of values for comp_cent

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
comp_cent comp 4 centered numeric 0 1 -1.2 1 3 1.075078 0.8928565 ▁▅▇▇▂ %9.0g

zcomp

comp stdized, 4 centered

Distribution

Distribution of values for zcomp

Distribution of values for zcomp

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
zcomp comp stdized, 4 centered numeric 0 1 -1.3 1.1 3.3 1.182032 0.9816822 ▁▅▇▇▂ %9.0g

prefer

prefer to work with

Distribution

Distribution of values for prefer

Distribution of values for prefer

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
prefer prefer to work with numeric 0 1 2 5 7 5.420561 1.213426 ▂▅▇▇▆ %8.0g

prefer_cent

prefer centered on 4

Distribution

Distribution of values for prefer_cent

Distribution of values for prefer_cent

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
prefer_cent prefer centered on 4 numeric 0 1 -2 1 3 1.420561 1.213426 ▂▅▇▇▆ %9.0g

zprefer

prefer stdized, 4 centered

Distribution

Distribution of values for zprefer

Distribution of values for zprefer

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
zprefer prefer stdized, 4 centered numeric 0 1 -1.7 0.83 2.5 1.175257 1.003891 ▂▅▇▇▆ %9.0g

promote_bonus

prefer to promote or bonus

Distribution

Distribution of values for promote_bonus

Distribution of values for promote_bonus

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
promote_bonus prefer to promote or bonus numeric 0 1 2 6 7 5.691589 1.06763 ▁▂▇▆▆ %8.0g

promote_bonus_cent

promote_bonus 4 centered

Distribution

Distribution of values for promote_bonus_cent

Distribution of values for promote_bonus_cent

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
promote_bonus_cent promote_bonus 4 centered numeric 0 1 -2 2 3 1.691589 1.06763 ▁▂▇▆▆ %9.0g

zpromote_bonus

promote_bonus stdized, 4 centered

Distribution

Distribution of values for zpromote_bonus

Distribution of values for zpromote_bonus

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
zpromote_bonus promote_bonus stdized, 4 centered numeric 0 1 -1.9 1.9 2.8 1.569508 0.9905799 ▁▁▁▆▇ %9.0g

hire

prefer to hire

Distribution

Distribution of values for hire

Distribution of values for hire

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
hire prefer to hire numeric 0 1 2 6 7 5.672897 1.096957 ▁▂▆▇▆ %8.0g

hire_cent

hire 4 centered

Distribution

Distribution of values for hire_cent

Distribution of values for hire_cent

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
hire_cent hire 4 centered numeric 0 1 -2 2 3 1.672897 1.096957 ▁▂▆▇▆ %9.0g

zhire

hire stdized, 4 centered

Distribution

Distribution of values for zhire

Distribution of values for zhire

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
zhire hire stdized, 4 centered numeric 0 1 -1.8 1.8 2.7 1.521006 0.9973589 ▁▂▆▇▆ %9.0g

work_outcome_cent

mean of prefer, promote_bonus, hire

Distribution

Distribution of values for work_outcome_cent

Distribution of values for work_outcome_cent

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
work_outcome_cent mean of prefer, promote_bonus, hire numeric 0 1 -2 1.7 3 1.595016 0.9989806 ▁▁▇▆▆ %9.0g

age

age

Distribution

Distribution of values for age

Distribution of values for age

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
age age numeric 0 1 21 36 63 37.18692 8.448658 ▃▇▇▂▁ %8.0g

age_cent

age mean centered

Distribution

Distribution of values for age_cent

Distribution of values for age_cent

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
age_cent age mean centered numeric 0 1 -16 -1.2 26 -4.2e-06 8.448658 ▃▇▇▂▁ %9.0g

gender

gender

Distribution

Distribution of values for gender

Distribution of values for gender

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.stata
gender gender haven_labelled 0 1 1 2 3 1.514019 0.5206035 3 ▇▁▁▇▁▁▁▁ %8.0g

Value labels

Response choices
name value
Man 1
Woman 2
Other 3

gender_3_text

gender text entry

Distribution

Distribution of values for gender_3_text

Distribution of values for gender_3_text

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.stata
gender_3_text gender text entry character 0 1 2 106 0 9 0 %9s

women_nonbin

woman or nonbinary

Distribution

Distribution of values for women_nonbin

Distribution of values for women_nonbin

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
women_nonbin woman or nonbinary numeric 0 1 0 1 1 0.5046729 0.502331 ▇▁▁▁▇ %9.0g

race

race

Distribution

Distribution of values for race

Distribution of values for race

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.stata
race race haven_labelled 0 1 1 1 8 1.383178 1.178781 8 ▇▁▁▁▁▁▁▁ %16.0g

Value labels

Response choices
name value
White 1
Black 2
Native 3
Asian 4
Pacific Islander 5
MENA 6
Multiracial 7
Other 8

race_7_text

multiracial text entry

Distribution

## No non-missing values to show.

107 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max hist format.stata
race_7_text multiracial text entry numeric 107 0 NA NA NA %8.0g

race_8_text

other race text entry

Distribution

Distribution of values for race_8_text

Distribution of values for race_8_text

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.stata
race_8_text other race text entry character 0 1 3 105 0 8 0 %9s

hisp

hispanic

Distribution

Distribution of values for hisp

Distribution of values for hisp

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
hisp hispanic numeric 0 1 0 0 1 0.0841121 0.2788621 ▇▁▁▁▁ %8.0g

racev2

race w hispanic recoded as a race

Distribution

Distribution of values for racev2

Distribution of values for racev2

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.stata
racev2 race w hispanic recoded as a race haven_labelled 0 1 1 1 5 1.476635 1.075857 9 ▇▁▁▁▁▁▁▁ %16.0g

Value labels

Response choices
name value
White 1
Black 2
Hispanic 3
Native 4
Asian 5
Pacific Islander 6
MENA 7
Multiracial 8
Other 9

nonwhite

any nonwhite race

Distribution

Distribution of values for nonwhite

Distribution of values for nonwhite

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
nonwhite any nonwhite race numeric 0 1 0 0 1 0.2056075 0.4060467 ▇▁▁▁▂ %9.0g

educ

educational attainment

Distribution

Distribution of values for educ

Distribution of values for educ

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.stata
educ educational attainment haven_labelled 0 1 1 5 6 4.299065 1.319055 6 ▁▂▁▆▂▁▇▅ %12.0g

Value labels

Response choices
name value
<HS 1
HS 2
Some College 3
AA/2-year 4
BA/4-year 5
Postgrad 6

college

any college degree

Distribution

Distribution of values for college

Distribution of values for college

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
college any college degree numeric 0 1 0 1 1 0.5514019 0.4996913 ▆▁▁▁▇ %9.0g

empstat

employment statys

Distribution

Distribution of values for empstat

Distribution of values for empstat

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.stata
empstat employment statys haven_labelled 0 1 1 1 4 1.093458 0.3769968 7 ▇▁▁▁▁▁▁▁ %10.0g

Value labels

Response choices
name value
Full-time 1
Part-time 2
Unemployed 3
Homemaker 4
Student 5
Retired 6
Other 7

occ

occupation

Distribution

Distribution of values for occ

Distribution of values for occ

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.stata
occ occupation character 0 1 99 2 0 44 0 %84s

working

working full or part time

Distribution

Distribution of values for working

Distribution of values for working

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
working working full or part time numeric 0 1 0 1 1 0.9906542 0.0966736 ▁▁▁▁▇ %9.0g

manage

manager

Distribution

Distribution of values for manage

Distribution of values for manage

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
manage manager numeric 0 1 0 1 1 0.8971963 0.3051316 ▁▁▁▁▇ %8.0g

manage_num

number of people managing

Distribution

Distribution of values for manage_num

Distribution of values for manage_num

13 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.stata
manage_num number of people managing haven_labelled 13 0.8785047 1 2 4 1.819149 0.9153737 4 ▇▁▅▁▁▃▁▁ %8.0g

Value labels

Response choices
name value
1-5 1
5-10 2
10-25 3
>25 4

income

income

Distribution

Distribution of values for income

Distribution of values for income

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
income income numeric 0 1 10 70 375 76.61215 56.77896 ▇▃▁▁▁ %9.0g

income_cent

income mean centered

Distribution

Distribution of values for income_cent

Distribution of values for income_cent

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
income_cent income mean centered numeric 0 1 -67 -6.6 298 -3e-07 56.77896 ▇▃▁▁▁ %9.0g

sses

subjective SES

Distribution

Distribution of values for sses

Distribution of values for sses

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
sses subjective SES numeric 0 1 2 6 9 5.607477 1.496896 ▂▂▇▆▁ %8.0g

sses_cent

sses mean centered

Distribution

Distribution of values for sses_cent

Distribution of values for sses_cent

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
sses_cent sses mean centered numeric 0 1 -3.6 0.39 3.4 -3e-07 1.496896 ▂▂▇▆▁ %9.0g

polsoc

conservatism in social matters

Distribution

Distribution of values for polsoc

Distribution of values for polsoc

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
polsoc conservatism in social matters numeric 0 1 1 3 7 3.28972 1.827512 ▇▅▅▂▃ %8.0g

polecon

conservatism in economic matters

Distribution

Distribution of values for polecon

Distribution of values for polecon

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
polecon conservatism in economic matters numeric 0 1 1 4 7 3.850467 1.87236 ▇▃▆▆▆ %8.0g

pol

mean of polsoc and polecon

Distribution

Distribution of values for pol

Distribution of values for pol

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
pol mean of polsoc and polecon numeric 0 1 1 4 7 3.570094 1.774357 ▇▃▇▂▃ %9.0g

pol_cent

pol mean centered

Distribution

Distribution of values for pol_cent

Distribution of values for pol_cent

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
pol_cent pol mean centered numeric 0 1 -2.6 0.43 3.4 5e-07 1.774357 ▇▃▇▂▃ %9.0g

blue_advantage

p presented w findings such that blue group is harder working

Distribution

Distribution of values for blue_advantage

Distribution of values for blue_advantage

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.stata
blue_advantage p presented w findings such that blue group is harder working numeric 0 1 0 0 1 0.4672897 0.5012768 ▇▁▁▁▇ %8.0g

Missingness report

Codebook table

JSON-LD metadata

The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.

{
  "name": "dat2",
  "datePublished": "2024-01-25",
  "description": "The dataset has N=107 rows and 55 columns.\n0 rows have no missing values on any column.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n[truncated]\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.2).",
  "keywords": ["warm", "trustworthy", "friendly", "honest", "likeable", "sincere", "competent", "intelligent", "skilled", "efficient", "assertive", "confident", "warmth", "warmth_cent", "zwarmth", "comp", "comp_cent", "zcomp", "prefer", "prefer_cent", "zprefer", "promote_bonus", "promote_bonus_cent", "zpromote_bonus", "hire", "hire_cent", "zhire", "work_outcome_cent", "age", "age_cent", "gender", "gender_3_text", "women_nonbin", "race", "race_7_text", "race_8_text", "hisp", "racev2", "nonwhite", "educ", "college", "empstat", "occ", "working", "manage", "manage_num", "income", "income_cent", "sses", "sses_cent", "polsoc", "polecon", "pol", "pol_cent", "blue_advantage"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "warm",
      "description": "warmth scale item",
      "@type": "propertyValue"
    },
    {
      "name": "trustworthy",
      "description": "warmth scale item",
      "@type": "propertyValue"
    },
    {
      "name": "friendly",
      "description": "warmth scale item",
      "@type": "propertyValue"
    },
    {
      "name": "honest",
      "description": "warmth scale item",
      "@type": "propertyValue"
    },
    {
      "name": "likeable",
      "description": "warmth scale item",
      "@type": "propertyValue"
    },
    {
      "name": "sincere",
      "description": "warmth scale item",
      "@type": "propertyValue"
    },
    {
      "name": "competent",
      "description": "competence scale item",
      "@type": "propertyValue"
    },
    {
      "name": "intelligent",
      "description": "competence scale item",
      "@type": "propertyValue"
    },
    {
      "name": "skilled",
      "description": "competence scale item",
      "@type": "propertyValue"
    },
    {
      "name": "efficient",
      "description": "competence scale item",
      "@type": "propertyValue"
    },
    {
      "name": "assertive",
      "description": "competence scale item",
      "@type": "propertyValue"
    },
    {
      "name": "confident",
      "description": "competence scale item",
      "@type": "propertyValue"
    },
    {
      "name": "warmth",
      "description": "warmth scale",
      "@type": "propertyValue"
    },
    {
      "name": "warmth_cent",
      "description": "warmth 4 centered",
      "@type": "propertyValue"
    },
    {
      "name": "zwarmth",
      "description": "warmth stdized, 4 centered",
      "@type": "propertyValue"
    },
    {
      "name": "comp",
      "description": "competence scale",
      "@type": "propertyValue"
    },
    {
      "name": "comp_cent",
      "description": "comp 4 centered",
      "@type": "propertyValue"
    },
    {
      "name": "zcomp",
      "description": "comp stdized, 4 centered",
      "@type": "propertyValue"
    },
    {
      "name": "prefer",
      "description": "prefer to work with",
      "@type": "propertyValue"
    },
    {
      "name": "prefer_cent",
      "description": "prefer centered on 4",
      "@type": "propertyValue"
    },
    {
      "name": "zprefer",
      "description": "prefer stdized, 4 centered",
      "@type": "propertyValue"
    },
    {
      "name": "promote_bonus",
      "description": "prefer to promote or bonus",
      "@type": "propertyValue"
    },
    {
      "name": "promote_bonus_cent",
      "description": "promote_bonus 4 centered",
      "@type": "propertyValue"
    },
    {
      "name": "zpromote_bonus",
      "description": "promote_bonus stdized, 4 centered",
      "@type": "propertyValue"
    },
    {
      "name": "hire",
      "description": "prefer to hire",
      "@type": "propertyValue"
    },
    {
      "name": "hire_cent",
      "description": "hire 4 centered",
      "@type": "propertyValue"
    },
    {
      "name": "zhire",
      "description": "hire stdized, 4 centered",
      "@type": "propertyValue"
    },
    {
      "name": "work_outcome_cent",
      "description": "mean of prefer, promote_bonus, hire",
      "@type": "propertyValue"
    },
    {
      "name": "age",
      "description": "age",
      "@type": "propertyValue"
    },
    {
      "name": "age_cent",
      "description": "age mean centered",
      "@type": "propertyValue"
    },
    {
      "name": "gender",
      "description": "gender",
      "value": "1. Man,\n2. Woman,\n3. Other",
      "maxValue": 3,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "gender_3_text",
      "description": "gender text entry",
      "@type": "propertyValue"
    },
    {
      "name": "women_nonbin",
      "description": "woman or nonbinary",
      "@type": "propertyValue"
    },
    {
      "name": "race",
      "description": "race",
      "value": "1. White,\n2. Black,\n3. Native,\n4. Asian,\n5. Pacific Islander,\n6. MENA,\n7. Multiracial,\n8. Other",
      "maxValue": 8,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "race_7_text",
      "description": "multiracial text entry",
      "@type": "propertyValue"
    },
    {
      "name": "race_8_text",
      "description": "other race text entry",
      "@type": "propertyValue"
    },
    {
      "name": "hisp",
      "description": "hispanic",
      "@type": "propertyValue"
    },
    {
      "name": "racev2",
      "description": "race w hispanic recoded as a race",
      "value": "1. White,\n2. Black,\n3. Hispanic,\n4. Native,\n5. Asian,\n6. Pacific Islander,\n7. MENA,\n8. Multiracial,\n9. Other",
      "maxValue": 9,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "nonwhite",
      "description": "any nonwhite race",
      "@type": "propertyValue"
    },
    {
      "name": "educ",
      "description": "educational attainment",
      "value": "1. <HS,\n2. HS,\n3. Some College,\n4. AA/2-year,\n5. BA/4-year,\n6. Postgrad",
      "maxValue": 6,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "college",
      "description": "any college degree",
      "@type": "propertyValue"
    },
    {
      "name": "empstat",
      "description": "employment statys",
      "value": "1. Full-time,\n2. Part-time,\n3. Unemployed,\n4. Homemaker,\n5. Student,\n6. Retired,\n7. Other",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "occ",
      "description": "occupation",
      "@type": "propertyValue"
    },
    {
      "name": "working",
      "description": "working full or part time",
      "@type": "propertyValue"
    },
    {
      "name": "manage",
      "description": "manager",
      "@type": "propertyValue"
    },
    {
      "name": "manage_num",
      "description": "number of people managing",
      "value": "1. 1-5,\n2. 5-10,\n3. 10-25,\n4. >25",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "income",
      "description": "income",
      "@type": "propertyValue"
    },
    {
      "name": "income_cent",
      "description": "income mean centered",
      "@type": "propertyValue"
    },
    {
      "name": "sses",
      "description": "subjective SES",
      "@type": "propertyValue"
    },
    {
      "name": "sses_cent",
      "description": "sses mean centered",
      "@type": "propertyValue"
    },
    {
      "name": "polsoc",
      "description": "conservatism in social matters",
      "@type": "propertyValue"
    },
    {
      "name": "polecon",
      "description": "conservatism in economic matters",
      "@type": "propertyValue"
    },
    {
      "name": "pol",
      "description": "mean of polsoc and polecon",
      "@type": "propertyValue"
    },
    {
      "name": "pol_cent",
      "description": "pol mean centered",
      "@type": "propertyValue"
    },
    {
      "name": "blue_advantage",
      "description": "p presented w findings such that blue group is harder working",
      "@type": "propertyValue"
    }
  ]
}`